b. Beijing 2008 
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B3b. Beijing 2008 
421 
images under 
s is generated 
:d to grayscale 
i samples were 
the higher the 
11 be its texture 
momic pattern 
>up 
Posterior 
1 
1 
2 
2 
1 
1 
2 
1 
1 
1 
1 
1 
1 
2 
1 
2 
2 
2 
2 
1 
2 
2 
2 
2 
2 
2 
1 
2 
2 
2 
cale images 
rom grayscale 
>rithm. In this 
assified. Only 
'ferent groups, 
bat the DBC 
e algorithm to 
ith different 
Image 
Lm 
Score 
Group 
Previous 
Posterior 
Al 
1.14 
1.14 
1 
1 
A2 
1.17 
5.95 
1 
1 
A3 
1.14 
0.71 
1 
1 
A4 
1.14 
0.68 
1 
1 
A5 
1.17 
5.57 
1 
1 
A6 
1.17 
5.93 
1 
1 
A7 
1.14 
0.16 
1 
1 
A8 
1.16 
4.51 
1 
1 
A9 
1.17 
5.87 
1 
1 
A10 
1.15 
2.38 
1 
1 
All 
1.15 
1.64 
1 
1 
A12 
1.15 
2.84 
1 
1 
A13 
1.15 
2.60 
1 
1 
A14 
1.14 
0.87 
1 
1 
A15 
1.17 
5.61 
1 
1 
B1 
1.09 
-6.31 
2 
2 
B2 
1.10 
-5.28 
2 
2 
B3 
1.11 
-4.67 
2 
2 
B4 
1.10 
-4.84 
2 
2 
B5 
1.15 
3.12 
2 
1 
B6 
1.11 
-3.17 
2 
2 
B7 
1.14 
0.69 
2 
1 
B8 
1.14 
0.62 
2 
1 
B9 
1.11 
-3.91 
2 
2 
B10 
1.11 
-3.28 
2 
2 
Bll 
1.12 
-2.81 
2 
2 
B12 
1.13 
-1.39 
2 
2 
B13 
1.10 
-4.83 
2 
2 
B14 
1.10 
-5.54 
2 
2 
B15 
1.10 
-4.87 
2 
2 
Table 3. Discriminant analysis results for grayscale images 
under the Differential Box Count algorithm 
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ACKNOWLEDGEMENTS 
The authors are very grateful to Soe Myint from Arizona State 
University for explanations about equation 3, and to Audrey 
Karperien who develops and maintains the software FracLac at 
Charles Sturt University, Australia, for explanations about the 
algorithms applied in this paper. Mauro Barros Filho would like 
to thank FACEPE for the financial support to this research.